What you bring: Several years of experience as a software engineer, including at least one LLM feature that you have personally deployed to production and that is used by real users. Experience with RAG in production: Vector DB, retrieval, chunking, evaluation, and grounding. Confidence in backend development with Python and/or TypeScript/Node: services, async, API design, data modeling. You are familiar with function calling, tool use, and prompt/context engineering from practical experience, not from tutorials. You work…